AI Research Scientist - Generative AI, Multimodal

Meta is seeking a Research Scientist to join our Multimodal applied research team. We are looking for recognized experts in generative AI, multimodal reasoning, NLP, with experience in areas like multimodal model training; data processing for pretraining and fine-tuning; LLM alignment; reinforcement learning for model tuning; efficient training and inference; image and video generation. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large multimodal models.

AI Research Scientist - Generative AI, Multimodal Responsibilities

• Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.


• Mentor other team members. Play a significant role in healthy cross-functional collaboration.


• Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.


• Work with a large team.


• Help identify long-term ambitious research goals as well as intermediate milestones.


• Prioritize research that can be applied to Meta's product development.

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.


• A PhD in AI, computer vision, computer science, data science, or related technical fields.


• Publications in AI and machine learning


• Experience writing software and executing complex experiments involving large AI models and datasets.


• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Direct experience in generative AI, computer vision and multimodal research.


• 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.


• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).


• Experience in developing and debugging in Python.